| Paper: | PS-2A.41 | ||
| Session: | Poster Session 2A | ||
| Location: | H Lichthof | ||
| Session Time: | Sunday, September 15, 17:15 - 20:15 | ||
| Presentation Time: | Sunday, September 15, 17:15 - 20:15 | ||
| Presentation: | Poster | ||
| Publication: | 2019 Conference on Cognitive Computational Neuroscience, 13-16 September 2019, Berlin, Germany | ||
| Paper Title: | Multi-sensory integration in biological and artificial systems through an hourglass network architecture | ||
| Manuscript: | Click here to view manuscript | ||
| License: |  This work is licensed under a Creative Commons Attribution 3.0 Unported License. |
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| DOI: | https://doi.org/10.32470/CCN.2019.1152-0 | ||
| Authors: | Kamal Shadi, Eva Dyer, Georgia Institute of Technology, United States; Majid Mohajerani, University of Lethbridge, Canada; Constantine Dovrolis, Georgia Institute of Technology, United States | ||
| Abstract: | Multi-sensory integration is a fundamental problem for any embodied cognitive system -- both biological and artificial. Here, we pursue a network approach to model the flow of evoked activity, initiated by stimuli at primary sensory regions. In particular, we use the Asynchronous Linear Threshold (ALT) diffusion model on the mesoscale cortical connectome of the mouse. The ALT model captures how evoked activity that originates at a given region of the cortex “ripples through” other brain regions. Our results show that a small number of brain regions (the Claustrum being at the top of the list) integrate almost all sensory information paths, suggesting that the cortex relies on an ``hourglass architecture'' to integrate and compress multi-sensory information before utilizing that lower-dimensionality representation in association regions and tasks. | ||